Bioinformatics University of Missouri - Kansas City

Overview

The Bioinformatics programme at the University of Missouri - Kansas City provides a comprehensive foundation for students aiming to excel in the rapidly evolving fields of biomedical and health informatics. This advanced degree is designed to equip graduates with the technical expertise required to contribute to high-level research and development.

Students can choose between a non-thesis track consisting of 30 credit hours or a thesis and capstone track requiring 36 credit hours. The curriculum is delivered in person, allowing for direct interaction with expert faculty and peers. Most students maintain a steady pace by completing two to three courses during each academic semester.

Why Bioinformatics at the University of Missouri - Kansas City?

The University of Missouri - Kansas City offers a unique learning environment through its School of Medicine, where research is a core component of the academic experience. Students benefit from the department's dedicated research and statistical consulting services, which promote high-quality study development and data analysis.

A significant advantage of studying here is the connection to the NextGen Data Science and Analytics Innovation Center. This partnership leverages public-private collaborations to provide informatics expertise across the UM System. Such resources ensure that students have access to cutting-edge capabilities and professional networking opportunities.

The programme is highly regarded for its flexibility, allowing learners to move at their own pace within small, interactive classes. Faculty members are deeply involved in the research community, providing students with mentorship and the ability to work on projects that align with their specific scientific interests.

Tuition Fee Breakdown

• International fee: USD 1351 per credit
• National fee: USD 1351 per credit
• Local fee: USD 538 per credit

Visit the Fees and Funding section for a breakdown in your local currency.

Syllabus

The curriculum is designed to be versatile, offering five optional emphasis areas to suit different career paths. These include clinical research, computational bioinformatics, genomic bioinformatics, epidemiology and biostatistics, and individualized informatics. Modules may include:

• Clinical Research
• Computational Bioinformatics
• Genomic Bioinformatics
• Individualised Informatics
• Epidemiology
• Biostatistics
• Research Methods
• Data Analysis
• Study Development

Careers with Bioinformatics

Graduates of this programme are well-prepared for diverse roles within the healthcare, biotechnology, and pharmaceutical industries. The training provided enables alumni to work in higher capacities within research organisations, focusing on complex data analysis and the development of clinical studies.

Common career paths include positions in clinical research coordination, bioinformatics analysis, and academic research. The well-rounded coursework in statistics and informatics ensures that graduates can transition into roles that require a deep understanding of both biological sciences and computational methodologies.